Insecticidal Effect of Cry Toxins Produced by Bacillus thuringiensis on Diceraeus melacanthus (Dallas, 1851) and Euschistus heros (Fabricius, 1798) (Hemiptera: Pentatomidae)
Bibliographic record
Abstract
Some species of the Heteroptera (Hemiptera) suborder are of great agricultural importance, mainly as pests, and their control is often necessary. The use of Bacillus thuringiensis, an entomopathogenic bacterium normally extracted from the soil and used in biological control, is an alternative to the chemical control of these insects. Mortality tests must be carried out in order to select and determine a viable toxic strain, but currently there is no validated methodology for conducting those tests. In this context, this research aimed to develop and improve a selective bioassay methodology to assess the toxic effect of B. thuringiensis Cry toxins on Diceraeus melacanthus (green-belly stink bug) and Euschistus heros (neotropical brown stink bug) nymphs. A bioassay methodology consisting of tubes and artificial diet was proposed. Bioassays with D. melacanthus and E. heros nymphs were performed incorporating Cry toxins (Cry1Aa, Cry1Ab, Cry1Ac, Cry1B, Cry1C, Cry1F, Cry1G, Cry1Ia, Cry2Ab, Cry2A, Cry2Ae, Cry4A, Cry4B, Cry10, and Cry11Aa) into their liquid diet. The artificial feeding system developed in order to carry out the stink bug mortality tests was conducted. Among the toxins tested, we can highlight 2 causing 80-85% nymphal mortality on D. melacanthus, and 4 toxins causing 90-100% nymphal mortality for E. heros after 7 days of incubation. Both species are susceptible to different Cry toxins, with emphasis on Cry2Ab and Cry4B for D. melacanthus and Cry1B, Cry1G, Cry1Ia and Cry2Ab for E. heros.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".